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Why using graph analytics for big data is on the rise
Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more.
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Governance key to data-driven decision-making
Successful data-driven decision-making relies on good data at its core, and it's a strong governance plan that ensures the quality of an organization's data.
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Looker roadmap includes investments in NLP, embedded BI
While collaboration with its parent company is prominent in Looker's plans, so are investments in analytics capabilities including embedded BI and natural language processing.
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Alteryx partners with cloud data warehouse vendor
Alteryx and a rising cloud data warehouse vendor unveiled a new partnership that will enable joint customers to more easily and inexpensively prepare data for analytics.
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Big data analytics Get Started
Key differences in uses of DataOps vs. DevOps
As with DevOps, DataOps hinges on cooperation between teams and breaking down silos within an organization with the focus of implementing and maintaining a data architecture.
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BI strategy Evaluate
Comparing business intelligence vs. business analytics
Business intelligence with descriptive analytics gives a better understanding of your current operations, while business analytics aims to inform future decisions.
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Customer analytics News
Customer analytics firms merge to take on Salesforce, Adobe
Manthan Systems and RichRelevance, vendors specializing in customer analytics, recently merged to bring together AI-fueled insights with expertise in global retail.
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Data visualization software Get Started
12 types of data visualizations, with examples of them
BI and analytics teams and self-service BI users can choose from various types of data visualizations. Here are examples of 12, with advice on when to use them.
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Predictive analytics Evaluate
Top 5 predictive analytics use cases in enterprises
From marketing to healthcare, looking at past data can be beneficial to forecasting future trends. Read on to understand the most popular use cases for predictive analytics today.
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Self-service and collaborative BI News
Data governance key to effective self-service analytics
A clear data governance policy and effective training are critical to enabling self-service analytics users to make data-driven decisions for their organizations.
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Business intelligence management (8) +
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Business intelligence technology and platforms (11) +
- Business intelligence architecture and integration
- Business intelligence development
- Business intelligence software
- Enterprise business intelligence reporting
- IBM business intelligence platforms
- Microsoft business intelligence platforms
- Open source business intelligence
- Oracle business intelligence platforms
- Real-time business intelligence
- SaaS business intelligence
- SAP business intelligence platforms
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Corporate performance management strategy (3) +
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Data analytics (8) +
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Data visualization tools (3) +
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Data warehouse design and administration (7) +
Find Solutions For Your Project
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Evaluate
Why using graph analytics for big data is on the rise
Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more.
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6 ways real-time analytics benefits businesses
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How data science, machine learning and AI work together
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8 top data science applications and use cases
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Problem Solve
Top BI challenges and tips on how to overcome them
BI teams face various technical and project management challenges on deployments. Here are the top BI challenges, with advice on how to address them.
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Overcoming the top 3 analytics adoption challenges
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COVID-19 data resources for volunteering data scientists
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Critical differences in ethics, governance, compliance
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Manage
6 core steps in the data science process
The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users.
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Data literacy framework must-haves for enterprises
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8 types of bias in data analysis and how to avoid them
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How predictive and prescriptive analytics impact the bottom line
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E-Handbook | November 2020
Big data streaming platforms empower real-time analytics
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E-Handbook | February 2020
Embedded BI software creates common ground for diverse analytics
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E-Handbook | October 2019
NLP uses in BI and analytics speak softly but carry a big stick
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E-Handbook | August 2019
Ethical data mining and analytics elude privacy, usage snafus
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E-Handbook | June 2019
Social media analytics applications live and die by the data
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Business Analytics/Business Intelligence Basics
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Get Started
Key differences in uses of DataOps vs. DevOps
As with DevOps, DataOps hinges on cooperation between teams and breaking down silos within an organization with the focus of implementing and maintaining a data architecture.
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Get Started
business analytics (BA)
Business analytics (BA) is the iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis.
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Get Started
Big data streaming platforms empower real-time analytics
Data streaming processes are becoming more popular across businesses and industries. Read on to see how streaming platform adoptions are benefiting enterprises.
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Customer analytics
Customer analytics firms merge to take on Salesforce, Adobe
Manthan Systems and RichRelevance, vendors specializing in customer analytics, recently merged to bring together AI-fueled insights with expertise in global retail.
-
Business intelligence technology and platforms
Looker roadmap includes investments in NLP, embedded BI
While collaboration with its parent company is prominent in Looker's plans, so are investments in analytics capabilities including embedded BI and natural language processing.
-
Business intelligence technology and platforms
Alteryx partners with cloud data warehouse vendor
Alteryx and a rising cloud data warehouse vendor unveiled a new partnership that will enable joint customers to more easily and inexpensively prepare data for analytics.